3D model-based hand tracking using stochastic direct search method

@article{Lin20043DMH,
  title={3D model-based hand tracking using stochastic direct search method},
  author={John Y. Lin and Ying Wu and Thomas S. Huang},
  journal={Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.},
  year={2004},
  pages={693-698}
}
Tracking the articulated hand motion in a video sequence is a challenging problem in which the main difficulty arises from the complexity of searching for an optimal motion estimate in a high dimensional configuration space induced by the articulated motion. Considering that the complexities of this problem mmay be reduced by learning th lower dimensional manifold of the articulation motion in the configuration space, we propose a new representation for the nonlinear manifold of the articulated… CONTINUE READING
Highly Cited
This paper has 57 citations. REVIEW CITATIONS
35 Citations
27 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 35 extracted citations

57 Citations

01020'06'09'12'15'18
Citations per Year
Semantic Scholar estimates that this publication has 57 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 27 references

Sclaroff . Estimating 3 d hand pose from a cluttered image

  • S.
  • Proc . IEEE Conf . on Computer Vision and Pattern…
  • 2003

A tutorial on particle filters for on-line non-linear/non-gaussian bayesian tracking

  • S. Arulampalam, S. Maskell, N. Gordon, T. Clapp
  • IEEE Transactions of Signal Processing,
  • 2002
2 Excerpts

Athitsos . 3 D hand pose re - construction using specialized mappings

  • S. Kumar.
  • Proc . IEEE Int ’ l Conf . on Computer Vision
  • 2001

Similar Papers

Loading similar papers…